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Chapter 1: Introduction to Data Engineering

Chapter 2: Understanding Structured, Semi-Structured & Unstructured Data

Chapter 3: Fundamentals of Relational & NoSQL Databases

Chapter 4: SQL for Data Engineering

Chapter 5: Data Modeling & Schema Design

Chapter 6: ETL vs ELT: Data Transformation Strategies

Chapter 7: Building Data Pipelines

Chapter 8: Big Data Ecosystem: Hadoop, Spark & Distributed Computing

Chapter 9: Batch vs Real-Time Data Processing

Chapter 10: Workflow Orchestration with Apache Airflow

Chapter 11: Data Storage: Data Lakes vs Data Warehouses

Chapter 12: Cloud Data Engineering: AWS, GCP & Azure Services

Chapter 13: Data Governance, Security & Compliance

Chapter 14: Data Observability, Monitoring & Performance Optimization

Chapter 15: Scaling Data Engineering Systems

Chapter 16: Future Trends in Data Engineering & Career Path

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